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Click here or scroll down to respond to this candidateCandidate's Name
University club dr, FL Street Address
PHONE NUMBER AVAILABLE EMAIL AVAILABLEhttps://LINKEDIN LINK AVAILABLEOver 3+ years of experience as a Front-end developer with software development lifecycle (SDLC) in designing, developing, and deploying Web-based applications, User interface which are Browser cross compatible developed using HTML5, CSS3, XML, XHTML, JavaScript, Typescript, React.js, Node.js and Angular in context with W3C standards.Developed SPA's web pages and web applications Interacting with API's, using JavaScript, React Angular, Node.js and Typescript.Applied modern JavaScript features and strong ES6 JavaScript skills, developing large modular applications.Built products with microservice and micro frontend architecture, enhancing modularity and scalabilityExpert in transforming Designs into responsive web and mobile templates and pages using WordPress (CMS)Experience in developing RWD's using React.js, bootstrap, Node.js.Experience in working with cloud environments like AWS, AZURE, GCP and deploying applications.Strong skills in data analysis, tag management, and visualization tools within the Adobe Marketing Cloud ecosystemExperienced in developing UI screens based on Figma design matching the UI as per standard requirements.Designed UI pattern and layouts with help of Adobe Photoshop, XD, CS6, Flash, Sketch, and Illustrator.Experience in working on CSS background, CSS padding, CSS flex Border.Experienced in writing base components dropdowns, checkboxes, labels. Tooltips texts, headers, left navs.Strong knowledge in cross browser compatibility testing and identifying issues and building in compliance with W3C standards.Experience in working with decentralized technologies, achieving application transparency and efficiency.Experience in writing unit test cases using tools like jasmine and karma.Experience in writing unit tests in SPEC files with100% code coverage by running command npm r unit : test: watch: Cov.Designed and developed relational database schemas using SQL, ensuring data integrity and performance optimization.Extensive knowledge in establishing connections to make API calls to Fetch data from backend and display it in front end using RESTAPI.Experience in Integrating JEST, POSTMAN services into API enabling connection to fetch data form the backend.Experience in working with Shopify apps, enhancing user experience, and optimizing business operations, leveraging the Shopify App Store ecosystem.Experience in customizing Shopify themes to match clients' brand identities and design requirements, ensuring a cohesive and visually appealing online store experience.Professional ExperienceAccenture November- 2019 - September 2021Front-end DeveloperResponsibilities:Worked on upgrading UI interface Typescript, JavaScript, and Angular.Involved in SDLC process gathering requirements from clients and translate them into UX decisions, Implementation and providing project estimation.Designed and developed interactive and responsive user interface using NGRX, for Angular and virtual DOM for efficient rendering and state management.Expertise in state management using ngRX stores, selectors and reducers integrated in single immutable structure helped improving APP stability.Used Svelte component-based approach for code reusability.Used Svelte stores for communication among different components in web-application.Involved in implementation of MVC pattern using Angular JS and Spring Controller.Responsible for Understanding UI/UX design principles and best practices, collaborating closely with designers to implement user-friendly interfaces enhancing user experience.Developed an internal web application to fetch information through Restful API to display metrics.Migrated JS application running on VM ware to cloud environment used node js as backend.Developed various dynamic webpages using Typescript, templates, HTML5, CSS, Bootstrap, Spring boot.Used Gulp and npm Task manager for automation and building project.Conducted in-depth analysis of user journeys and conversion funnels to identify optimization opportunities and improve customer experiences.Developed custom segments, calculated metrics, and advanced attribution models to provide deeper insights into digital performancePerformed cross browser compatibility testing for application, tested it on various browsers and different versions ensuring consistent rendering and functionality.Conducted website audits to identify and resolve performance, SEO, and accessibility issues.Created interactive dashboards in Adobe Analytics Workspace for real-time monitoring of key metrics.Configured Adobe Launch to deploy tags and track user interactions across the site.Set up custom events, eVars, and props in Adobe Analytics to capture detailed user actionsExtensively Used MongoDB for data storage.Experience with both relational like PostgreSQL, MySQL and non-relational MongoDB databases.Skilled in designing, querying, and optimizing databases to support web applicationsUsed HTML forms, CSS3 media and container queries, combined with Flexbox and Grid layout techniques, to create visually appealing and mobile-friendly user interfaces across various devices.Worked on Responsive web pages (RWD) using Bootstrap, RESTful API web development.Implemented database queries, stored procedures, and triggers to support application functionality and business logic.Performed unit tests, integration tests, for Angular components using Jest, Jasmine.Proficient in CI/CD working environments such as Jenkins and Root Cause Analysis RCA.Experience working in Agile/Scrum Based UI Development approach.Environment: HTML, CSS/SASS, Bootstrap, JSP, JavaScript, Angular8/9/12, Typescript, NodeJS, Reactjs, redux, NGRX, MongoDB REST API, Karma, Jasmine, Adobe Photoshop, Adobe XD, Agile, JIRA, Jenkins, Git, Git bucket.Genpact Jan 2019 - November 2019UI/UX, React DeveloperDesigned and developed various highly scalable Frontend applications, collaborated with the team to build various web applications.Build Data Driven web-sties enriching customer experience implementing dynamic data grids for Sorting, choosing drop downs, Key board navigations etc.Implemented virtual DOM in websites increasing performance, Improved efficiency, cleaner code, and Reduced rendering time.Used various built-in React hook features and External libraries like Redux for state management,Utilized React state management libraries like Redux, Redux saga, redux promise for other components managing them as child components. maintain Data flow across various components in entire web application.Used Jenkins to build applications and deployed packages to staging and production environment.Responsible for developing RESTFUL API integration to fetch data from servers and display dynamic data on front end.Used W3C Standard CSS media query to ensure standard resolution and layouts across various devices.Environment: HTML, CSS/SASS, Bootstrap, JavaScript, Typescript, Angular 4/5, Adobe, XD, Figma, sketch Visual Studio.EducationMasters in computer science and information systems January 2022 - December 2023Saint Leo University at Dade CityDatabase systems, Algorithms Web applications, Machine Learning, Introduction to AI.Academic ProjectsOnline Shopping cum Business Portal March 2019Overview: Built an e-commerce online shopping website using HTML, CSS, JAVASCRIPT created user-friendly interfaces for product management and order processing. Including various features like data encryption to ensure data security of users, data administration using MYSQL for product management and order management, used various WordPress plugins like image optimization etc. integrated a secure payment gateway for online transactions. Added feature where users on this site can become vendors and do their own business.Technology Used: XAMP server, Net beans Ide, WordPress, local host.Tech Stack: MySQL, Apache Tomcat, PHP, JavaScript, HTML, CSS, React.js.Credit Card Fraud Detection Model Nov - Dec 2023Build an ML model to minimize financial losses for cardholders and financial institutions. The primary goal of a Credit Card Fraud Detection model is to detect and stop fraudulent transactions in real-time or almost real-time.Technical Skills and tools- Python, R, SQL, Pandas, NumPy, SciPy, TensorFlow, SciKit-learn. |
